Dynamic population adjustments for a group

A method, comprising:

• receiving a promotion identifier for a promotion from a campaign manager;
• selecting a group of first customers for receiving the promotion on behalf of the campaign manager;
• monitoring transactions of the first customers for a redemption transaction that included a redemption of the promotion;
• modeling items of the redemption transaction;
• modeling other items of other transactions from second customers for a preconfigured similarity value to the redemption transaction;
• identifying third customers from the second customers associated with the other transactions that are within the preconfigured similarity value;
• and
• providing customer identifiers for the third customers to the campaign manager for adding the third customer to the group with the first customers and for receiving the promotion.

A system, comprising:

• a cloud processing environment comprising at least one processor and a non-transitory computer-readable storage medium;
• the non-transitory computer-readable storage medium comprises executable instructions;
• the executable instructions when executed by the at least one processor from the non-transitory computer-readable storage medium cause the at least one processor to perform operations comprising:
• defining a size of a group and first members of the group for a campaign associated with a promotion;
• monitoring transactions of the group for a redemption of the transaction associated with a redemption transaction;
• modeling the redemption transaction based on a basket of items comprised in the transaction;
• monitoring other transactions associated with non-members of the group;
• modeling other transaction based on other baskets of items comprised in the other transactions;
• identifying similarities between select ones of the other transactions and the redemption transaction based on the modeling of the redemption transaction and the other transactions;
• selecting a preconfigured number of the select ones of the other transactions based on the corresponding similarities;
• identifying member identifiers associated with the preconfigured number of the other transactions, wherein the member identifiers associated with second members;
• adding the second members to the group increasing the size of the group by the preconfigured number;
• and
• iterating back to the monitoring of the transactions with the second members added to the group until the campaign or the promotion ends or is terminated.